Session 2

Finding Efficiency in MRI: Managing the Growth Modality

The current medical imaging process is plagued by challenges such as misinterpretation of imaging data, radiologist burnout, and lengthy diagnosis times. To address these issues, we propose an AI-driven journey in medical imaging, where AI is integrated into every step of the process. By leveraging AI, we can improve image quality, reduce scan times, and enhance diagnostic accuracy. Our solution uses AI-powered patient positioning, protocoling, and image reconstruction to streamline the imaging process. With AI-driven clinical decision support, radiologists can make more accurate diagnoses, and patients can receive timely and effective treatment.
To overcome these challenges, we have introduced new MRI technology that streamlines workflows and an easy-to-use platform increases productivity and enables efficient staffing. Auto Scan Assist utilizes AI to reduces the need for rescanning through precise protocol planning. Our unique solution minimizes the steps required in patient positioning, significantly reducing time between examinations and enables an increase in the number of examinations possible in a day. These innovative ensure rapid throughput and high productivity while guaranteeing consistency.

Session 2 schedule
Monday 27 Jan. 14:00-14:30
Tuesday 28 Jan. 13:00-13:30
Wednesday 29 Jan. 13:00-13:30

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